These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

608 related articles for article (PubMed ID: 28155841)

  • 1. Reference layer adaptive filtering (RLAF) for EEG artifact reduction in simultaneous EEG-fMRI.
    Steyrl D; Krausz G; Koschutnig K; Edlinger G; Müller-Putz GR
    J Neural Eng; 2017 Apr; 14(2):026003. PubMed ID: 28155841
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Online Reduction of Artifacts in EEG of Simultaneous EEG-fMRI Using Reference Layer Adaptive Filtering (RLAF).
    Steyrl D; Krausz G; Koschutnig K; Edlinger G; Müller-Putz GR
    Brain Topogr; 2018 Jan; 31(1):129-149. PubMed ID: 29124547
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Reduction of EEG artifacts in simultaneous EEG-fMRI: Reference layer adaptive filtering (RLAF).
    Steyrl D; Patz F; Krausz G; Edlinger G; Müller-Putz GR
    Annu Int Conf IEEE Eng Med Biol Soc; 2015 Aug; 2015():3803-6. PubMed ID: 26737122
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Reference layer artefact subtraction (RLAS): a novel method of minimizing EEG artefacts during simultaneous fMRI.
    Chowdhury ME; Mullinger KJ; Glover P; Bowtell R
    Neuroimage; 2014 Jan; 84():307-19. PubMed ID: 23994127
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ultrahigh-frequency EEG during fMRI: pushing the limits of imaging-artifact correction.
    Freyer F; Becker R; Anami K; Curio G; Villringer A; Ritter P
    Neuroimage; 2009 Oct; 48(1):94-108. PubMed ID: 19539035
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Artifact reduction for simultaneous EEG/fMRI recording: adaptive FIR reduction of imaging artifacts.
    Wan X; Iwata K; Riera J; Kitamura M; Kawashima R
    Clin Neurophysiol; 2006 Mar; 117(3):681-92. PubMed ID: 16458593
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Towards high-quality simultaneous EEG-fMRI at 7 T: Detection and reduction of EEG artifacts due to head motion.
    Jorge J; Grouiller F; Gruetter R; van der Zwaag W; Figueiredo P
    Neuroimage; 2015 Oct; 120():143-53. PubMed ID: 26169325
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Ballistocardiogram artifact correction taking into account physiological signal preservation in simultaneous EEG-fMRI.
    Abreu R; Leite M; Jorge J; Grouiller F; van der Zwaag W; Leal A; Figueiredo P
    Neuroimage; 2016 Jul; 135():45-63. PubMed ID: 27012501
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evaluating gradient artifact correction of EEG data acquired simultaneously with fMRI.
    Ritter P; Becker R; Graefe C; Villringer A
    Magn Reson Imaging; 2007 Jul; 25(6):923-32. PubMed ID: 17462844
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improved ballistocardiac artifact removal from the electroencephalogram recorded in fMRI.
    Kim KH; Yoon HW; Park HW
    J Neurosci Methods; 2004 May; 135(1-2):193-203. PubMed ID: 15020103
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Simultaneous EEG-fMRI at ultra-high field: artifact prevention and safety assessment.
    Jorge J; Grouiller F; Ipek Ö; Stoermer R; Michel CM; Figueiredo P; van der Zwaag W; Gruetter R
    Neuroimage; 2015 Jan; 105():132-44. PubMed ID: 25449743
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Ballistocardiogram artifact removal with a reference layer and standard EEG cap.
    Luo Q; Huang X; Glover GH
    J Neurosci Methods; 2014 Aug; 233():137-49. PubMed ID: 24960423
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development, validation, and comparison of ICA-based gradient artifact reduction algorithms for simultaneous EEG-spiral in/out and echo-planar fMRI recordings.
    Ryali S; Glover GH; Chang C; Menon V
    Neuroimage; 2009 Nov; 48(2):348-61. PubMed ID: 19580873
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A method for removing imaging artifact from continuous EEG recorded during functional MRI.
    Allen PJ; Josephs O; Turner R
    Neuroimage; 2000 Aug; 12(2):230-9. PubMed ID: 10913328
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Novel artefact removal algorithms for co-registered EEG/fMRI based on selective averaging and subtraction.
    de Munck JC; van Houdt PJ; Gonçalves SI; van Wegen E; Ossenblok PP
    Neuroimage; 2013 Jan; 64():407-15. PubMed ID: 22995780
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Correction for desynchronization of EEG and fMRI clocks through data interpolation optimizes artifact reduction.
    Gonçalves SI; Pouwels PJ; Kuijer JP; Heethaar RM; de Munck JC
    Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():1590-4. PubMed ID: 18002275
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Comparison of BCG artifact removal methods for evoked responses in simultaneous EEG-fMRI.
    Shams N; Alain C; Strother S
    J Neurosci Methods; 2015 Apr; 245():137-46. PubMed ID: 25721269
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Carbon-wire loop based artifact correction outperforms post-processing EEG/fMRI corrections--A validation of a real-time simultaneous EEG/fMRI correction method.
    van der Meer JN; Pampel A; Van Someren EJW; Ramautar JR; van der Werf YD; Gomez-Herrero G; Lepsien J; Hellrung L; Hinrichs H; Möller HE; Walter M
    Neuroimage; 2016 Jan; 125():880-894. PubMed ID: 26505301
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Spatial filters and automated spike detection based on brain topographies improve sensitivity of EEG-fMRI studies in focal epilepsy.
    Siniatchkin M; Moeller F; Jacobs J; Stephani U; Boor R; Wolff S; Jansen O; Siebner H; Scherg M
    Neuroimage; 2007 Sep; 37(3):834-43. PubMed ID: 17627849
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis.
    Nakamura W; Anami K; Mori T; Saitoh O; Cichocki A; Amari S
    IEEE Trans Biomed Eng; 2006 Jul; 53(7):1294-308. PubMed ID: 16830934
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 31.